云南民族大学学报(自然科学版)2017,Vol.26Issue(6):475-477,3.DOI:10.3969/j.issn.1672-8513.2017.06.009
函数型线性回归模型的三角样条估计
Triangular spline estimation for the functional linear model
摘要
Abstract
The functional linear regression model has captured much attention in functional data analysis. In this paper, the unknown parameters in the model are estimated based on the triangular spline estimation method. The simulation results show that the mean square error of the triangular spline estimation is smaller than that of the tradi-tional polynomial spline estimation and the triangular estimation spends less time in calculation. It is concluded that the triangular spline estimation has some advantages in the partial functional linear regression model.关键词
函数型线性回归模型/函数型数据/三角样条/均方误差Key words
functional linear regression model/functional data/triangular spline/mean square error分类
数理科学引用本文复制引用
张恒,朱永忠..函数型线性回归模型的三角样条估计[J].云南民族大学学报(自然科学版),2017,26(6):475-477,3.基金项目
国家自然科学基金(5079029). (5079029)